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View all- Boz AZorgdrager WKotti ZHarte JLouridas PKarakoidas VJannach DFragkoulis M(2025)Improving Sequential Recommendations with LLMsACM Transactions on Recommender Systems10.1145/3711667Online publication date: 10-Jan-2025
In recommender systems, users’ preferences for item popularity are diverse and dynamic, which reveals the different items that users prefer. Therefore, identifying user popularity preferences are significant for personalized recommendations. ...
Sequential recommendation task aims to predict user preference over items in the future given user historical behaviors. The order of user behaviors implies that there are resourceful sequential patterns embedded in the behavior history which reveal the ...
News recommendation is often modeled as a sequential recommendation task, assuming there are rich short-term dependencies over historical clicked news. However, users usually have strong preferences on the temporal diversity of news information and may ...
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